Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being -
SDG 7 Affordable and Clean Energy
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Dive into the research topics where Haoyi Zhou is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Fine-Tuned LLMs Know They Don’t Know: A Parameter-Efficient Approach to Recovering Honesty
Shi, Z., Wang, Z., Chen, T., Gao, S., Zhou, H., Sun, Q. & Li, J., 2026, Proceedings of the AAAI Conference on Artificial Intelligence. Koenig, S., Jenkins, C. & Taylor, M. E. (eds.). 39 ed. Association for the Advancement of Artificial Intelligence, p. 32983-32991 9 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 40, no. 39).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
FRoD: Full-Rank Efficient Fine-Tuning with Rotational Degrees for Fast Convergence
Wan, G., Chen, T., Feng, F., Zhou, H. & Xu, R., 2026, Proceedings of the AAAI Conference on Artificial Intelligence. Koenig, S., Jenkins, C. & Taylor, M. E. (eds.). 31 ed. Association for the Advancement of Artificial Intelligence, p. 26107-26114 8 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 40, no. 31).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
Towards Long-window Anchoring in Vision-Language Model Distillation
Zhou, H., Li, S., Chen, T., Song, Q., Gao, C. & Li, J., 2026, Proceedings of the AAAI Conference on Artificial Intelligence. Koenig, S., Jenkins, C. & Taylor, M. E. (eds.). 34 ed. Association for the Advancement of Artificial Intelligence, p. 28955-28963 9 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 40, no. 34).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
A comprehensive survey on GNN-based anomaly detection: taxonomy, methods, and the role of large language models
Yuan, Z., Sun, Q., Zhou, H., Shao, M. & Fu, X., Aug 2025, In: International Journal of Machine Learning and Cybernetics. 16, 7-8, p. 4407-4432 26 p.Research output: Contribution to journal › Article › peer-review
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Adaptive dynamic graphs for anomaly detection via inter- and intra-diffusion
Yuan, Z., Zhou, H. & Sun, Q., Sep 2025, In: International Journal of Machine Learning and Cybernetics. 16, 9, p. 6647-6668 22 p.Research output: Contribution to journal › Article › peer-review